Applying Computational Intelligence

How to Create Value

  • Arthur Kordon

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Computational Intelligence in a Nutshell

    1. Front Matter
      Pages 1-1
    2. Arthur K. Kordon
      Pages 3-30
    3. Arthur K. Kordon
      Pages 51-72
    4. Arthur K. Kordon
      Pages 115-144
    5. Arthur K. Kordon
      Pages 145-174
  3. Computational Intelligence Creates Value

    1. Front Matter
      Pages 202-202
    2. Arthur K. Kordon
      Pages 203-231
    3. Arthur K. Kordon
      Pages 257-276
  4. Computational Intelligence Application Strategy

    1. Front Matter
      Pages 278-278
    2. Arthur K. Kordon
      Pages 279-309
    3. Arthur K. Kordon
      Pages 311-341
    4. Arthur K. Kordon
      Pages 343-373
  5. The Future of Computational Intelligence

    1. Front Matter
      Pages 406-406
  6. Back Matter
    Pages 435-459

About this book


In theory, there is no difference between theory and practice. But, in practice, there is. Jan L. A. van de Snepscheut The ?ow of academic ideas in the area of computational intelligence has penetrated industry with tremendous speed and persistence. Thousands of applications have proved the practical potential of fuzzy logic, neural networks, evolutionary com- tation, swarm intelligence, and intelligent agents even before their theoretical foundation is completely understood. And the popularity is rising. Some software vendors have pronounced the new machine learning gold rush to “Transfer Data into Gold”. New buzzwords like “data mining”, “genetic algorithms”, and “swarm optimization” have enriched the top executives’ vocabulary to make them look more “visionary” for the 21st century. The phrase “fuzzy math” became political jargon after being used by US President George W. Bush in one of the election debates in the campaign in 2000. Even process operators are discussing the perf- mance of neural networks with the same passion as the performance of the Dallas Cowboys. However, for most of the engineers and scientists introducing computational intelligence technologies into practice, looking at the growing number of new approaches, and understanding their theoretical principles and potential for value creation becomes a more and more dif?cult task.


Artificial intelligence Business intelligence Computational intelligence Data mining Empirical modeling Evolutionary computing Fuzzy systems Industrial applications Machine learning Natural computing Optimization Process monitoring Six Sigma;

Authors and affiliations

  • Arthur Kordon
    • 1
  1. 1.Dow Chemical CompanyFreeportU.S.A.

Bibliographic information